Traditional SaaS in construction only created few major players because the industry needs specific results rather than improvements, and the unique nature of each project makes standardization and scaling of SaaS difficult. After decades of digitizing, the data is scattered across systems and still consists to 95% of unstructured data (a million unstructured data points per building)

Example: This is only the input a construction company gets to deliver a quote (5000 pages on average)

Example: This is only the input a construction company gets to deliver a quote (5000 pages on average)

The result: Highly skilled people spend their days manually copying and pasting data into systems - wasting their valuable skills and resources.

Incumbent solutions are not designed to leverage this data. They have a file based architecture and are still stuck in the cloud transition. The back-office is where all this data comes together. It is where the huge problems stem from and could be prohibited e.g. Faulty Ventilation Walls at BER

After a decade in this industry we are bullish about the opportunities of Vertical AI in construction and believe it has 10x potential beyond traditional SaaS.

• It can finally handle the millions of unstructured data points
• It can deliver real business outcomes thus provide higher ROI through targeted use case, catering to how the industry operates and buys. e.g. Our entry identifies automatically what interior components need to be build and enriches it into a 3D model, a real business outcome
• With 95% of data being unstructured, AI uncovers insights previously buried—like reasons behind project delays hidden in reports or emails— empowering teams to mitigate risks and unlock transformative learnings that are increasing margins and speeding up projects.

This is the chance and point in time to build a huge generational and global player in construction, while helping the biggest global vertical out of its decade long productivity deadlock. We would love to have you on board on that ride.